| Literature DB >> 31475811 |
I Castro, M Tasias, E Calabuig, M Salavert1.
Abstract
Recurrence rate ranges from 12% to 40% of all cases of Clostridium difficile infection (CDI) and proposes an exceptional clinical challenge. Conventionally, treatment options of CDI have been limited to regimes of established antibiotics (eg, pulsed/tapered vancomycin) or "improvised" alternative antibiotics (eg. teicoplanin, tigecycline, nitazoxanide or rifaximin) occasionally even in combination, but faecal microbiota transplantation is emerging as a useful and quite safe alternative. In recent years, promising new strategies have emerged for effective prevention of recurrent CDI (rCDI) including new an-timicrobials (eg, fidaxomicin) and monoclonal antibodies (eg, bezlotoxumab). Despite promising progress in this area, difficulties remain for making the best use of these resources due to uncertainty over patient selection. This positioning review describes the current epidemiology of rCDI, its clinical impact and risk factors, some of the measures used for treating and preventing rCDI, and some of the emerging treatment options. It then describes some of the barriers that need to be overcome.Entities:
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Year: 2019 PMID: 31475811 PMCID: PMC6755365
Source DB: PubMed Journal: Rev Esp Quimioter ISSN: 0214-3429 Impact factor: 1.553
Proposed and potential risk factors for recurrent Clostridium difficile infection (rCDI)
| Risk factors group | Factors included in the group |
|---|---|
| Host risk factors | • Age ≥65 years |
| Severity of CDI episode | • Severe primary CDI |
| Pathogen-specific factors | • |
| Exogenous factors (Exposures) | • Proton pump inhibitors/antacids |
CDI: Clostridium difficile infection. Note: Data collated from multiple references included in the bibliography.
Classification of antibiotics based on the risk of developing CDI or recurrence
| Low risk | Moderate risk | High risk |
|---|---|---|
| Aminoglycosides | Ampicillin | Clindamycin |
List of risk prediction scales and scoring systems for recurrent CDI
| Study | Variables o parameters included in the score | Comments |
|---|---|---|
| Hu et al. [ | Age > 65 years | Small sample size; |
| Miller et al. [ | Age | Useful for predicting severity and response to treatment, but found to be a poor predictor of recurrence. |
| Zilberberg et al. [ | Age | Derived from a large retrospective single center cohort study and cross-validated in the same population. |
| D’agostino et al. [ | Age > 75 years | Derived and validated from a large prospective dataset. Poorly predictive of recurrent CDI (C statistic 0.54) |
| Escobar et al. [ | Comparison of 4 models | Derived from a large multicenter retrospective cohort andinternally validated in a separate cohort. |
| Viswesh et al. [ | CDI present on admission | Derived from a large retrospective single center cohort study and cross-validated in the same population. |
| Cobo et al. (GEIH-CDI Score) [ | Age | Derived from a retrospective multicenter cohort and validated in a separate cohort (including several of the same centers from derivation cohort). |
| Reveles et al. [ | Prior 3rd or 4th generation cephalosporin use | Large retrospective national cohort of veterans. Clinical prediction rule correlated strongly with recurrence (R2 = 0.94) in an internal validation cohort. |
CDI: Clostridium difficile infection; sCr: serum creatinine; GI: gastrointestinal; EMR: electronic medical records.
C-statistic [equivalent to the area under the Receiver Operating Characteristic (ROC) curve] is a standard measure of the predictive accuracy of a logistic regression model. C-statistic refer to the probability that predicting the outcome is better than chance. It is used to compare the goodness of fit of logistic regression models. Values for this measure range from 0.5 to 1.0. A value of 0.5 indicates that the model is no better than chance at making a prediction of membership in a group and a value of 1.0 indicates that the model perfectly identifies those within a group and those not. Models are typically considered reasonable when the C-statistic is higher than 0.7 and strong when C exceeds 0.8.
Figure 1Evaluating and combining strategies against recurrences of CDI